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Data Modeling with Tableau: A practical guide to building data models using Tableau Prep and Tableau Desktop
by Kirk MunroeSave time analyzing volumes of data using best practices to extract, model, and create insights from your dataKey FeaturesMaster best practices in data modeling with Tableau Prep Builder and Tableau DesktopApply Tableau Server and Cloud to create and extend data modelsBuild organizational data models based on data and content governance best practicesBook DescriptionTableau is unlike most other BI platforms that have a single data modeling tool and enterprise data model (for example, LookML from Google's Looker). That doesn't mean Tableau doesn't have enterprise data governance; it is both robust and very flexible. This book will help you build a data-driven organization with the proper use of Tableau governance models.Data Modeling with Tableau is an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. As you progress through the chapters, you will learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. You'll also explore the components of Tableau Server and Cloud that make data modeling more robust, secure, and performant. Moreover, by extending data models for Ask and Explain Data, you'll gain the knowledge required to extend analytics to more people in their organizations, leading to better data-driven decisions. Finally, this book will get into the entire Tableau stack and get the techniques required to build the right level of governance into Tableau data models for the right use cases.By the end of this Tableau book, you'll have a firm understanding of how to leverage data modeling in Tableau to benefit your organization.What you will learnShowcase Tableau published data sources and embedded connectionsApply Ask Data in data cataloging and natural language queryExhibit features of Tableau Prep Builder with hands-on exercisesModel data with Tableau Desktop through examplesFormulate a governed data strategy using Tableau Server and CloudOptimize data models for Ask and Explain DataWho this book is forThis book is for data analysts and business analysts who are looking to expand their data skills, offering a broad foundation to build better data models in Tableau for easier analysis and better query performance.It will also benefit individuals responsible for making trusted and secure data available to their organization through Tableau, such as data stewards and others who work to take enterprise data and make it more accessible to business analysts.
Data Science Landscape: Towards Research Standards And Protocols (Studies in Big Data #38)
by Usha Mujoo Munshi Neeta VermaThe edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on “Big and Open Data – Evolving Data Science Standards and Citation Attribution Practices”, an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group. In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume.
Software Engineering Measurement
by Ph.D., John MunsonThe product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development
An Aesthesia of Networks: Conjunctive Experience in Art and Technology (Technologies of Lived Abstraction)
by Anna MunsterThe experience of networks as the immediate sensing of relations between humans and nonhuman technical elements in assemblages such as viral media and databases.Today almost every aspect of life for which data exists can be rendered as a network. Financial data, social networks, biological ecologies: all are visualized in links and nodes, lines connecting dots. A network visualization of a corporate infrastructure could look remarkably similar to that of a terrorist organization. In An Aesthesia of Networks, Anna Munster argues that this uniformity has flattened our experience of networks as active and relational processes and assemblages. She counters the “network anaesthesia” that results from this pervasive mimesis by reinserting the question of experience, or aesthesia, into networked culture and aesthetics.Rather than asking how humans experience computers and networks, Munster asks how networks experience—what operations they perform and undergo to change and produce new forms of experience. Drawing on William James's radical empiricism, she asserts that networked experience is assembled first and foremost through relations, which make up its most immediately sensed and perceived aspect. Munster critically considers a range of contemporary artistic and cultural practices that engage with network technologies and techniques, including databases and data mining, the domination of search in online activity, and the proliferation of viral media through YouTube. These practices—from artists who “undermine” data to musicians and VJs who use intranetworked audio and video software environments—are concerned with the relationality at the core of today's network experience.
An Aesthesia of Networks
by Anna MunsterToday almost every aspect of life for which data exists can be rendered as a network. Financial data, social networks, biological ecologies: all are visualized in links and nodes, linesconnecting dots. A network visualization of a corporate infrastructure could look remarkably similarto that of a terrorist organization. In An Aesthesia of Networks, Anna Munsterargues that this uniformity has flattened our experience of networks as active and relationalprocesses and assemblages. She counters the "network anaesthesia" that results from thispervasive mimesis by reinserting the question of experience, or aesthesia, into networked cultureand aesthetics. Rather than asking how humans experience computers and networks, Munster asks hownetworks experience -- what operations they perform and undergo to change andproduce new forms of experience. Drawing on William James's radical empiricism, she asserts thatnetworked experience is assembled first and foremost through relations, which make up its mostimmediately sensed and perceived aspect. Munster critically considers a range of contemporaryartistic and cultural practices that engage with network technologies and techniques, includingdatabases and data mining, the domination of search in online activity, and the proliferation ofviral media through YouTube. These practices -- from artists who "undermine" data tomusicians and VJs who use intranetworked audio and video software environments -- are concerned withthe relationality at the core of today's network experience.
Handbook of Digital 3D Reconstruction of Historical Architecture (Synthesis Lectures on Engineers, Technology, & Society #28)
by Sander Münster Fabrizio Ivan Apollonio Ina Bluemel Federico Fallavollita Riccardo Foschi Marc Grellert Marinos Ioannides Peter Heinrich Jahn Richard Kurdiovsky Piotr Kuroczyński Jan-Eric Lutteroth Heike Messemer Georg SchelbertThis open access book is a handbook for students, experts and interested parties who want to learn more about digital 3D reconstruction of historical architecture. The book provides answers to the core questions of the subject: What is a digital 3D model or a digital 3D reconstruction? How are they created and what are they used for? Practical instructions, condensed knowledge, explanations of technical terms and references to example projects, literature and further references provide information of varying density and thus enable an individual introduction to the subject.The book combines extensive knowledge on the topic of "digital 3D reconstruction of historical architecture" and provides practical instructions for independent implementation. Up to now, there has been no cross-disciplinary vocabulary for technical terms in this field, so this publication makes a start.The book is aimed at students, experts in the field and the interested public and offers various possibilities for the different target groups to delve deeply into the subject.The book was created within the research network "Digital 3D Reconstruction as Tools for Research in Architectural History," which was funded by the German Research Foundation (DFG) from 2018 to 2023. The authors combined their expertise in the fields of art and architectural history, architecture, university teaching and media informatics.
Digital Research and Education in Architectural Heritage: 5th Conference, Dech 2017, And First Workshop, Uhdl 2017, Dresden, Germany, March 30-31, 2017, Revised Selected Papers (Communications In Computer And Information Science #817)
by Sander Münster Kristina Friedrichs Florian Niebling Agnieszka Seidel-GrzesińskaThis book constitutes the refereed proceedings of the 5th Conference on Digital Encounters with Cultural Heritage, DECH 2017, and the First Workshop on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2017, held in Dresden, Germany, in March 2017.The 11 revised full papers from DECH 2017 and two revised full papers from UHDL 2017 presented in this volume were carefully reviewed and selected from 33 joint submissions. The papers are organized in topical sections on research on architectural and urban cultural heritage; technical access; systematization; education in urban history; organizational perspectives.
Research and Education in Urban History in the Age of Digital Libraries: Second International Workshop, UHDL 2019, Dresden, Germany, October 10–11, 2019, Revised Selected Papers (Communications in Computer and Information Science #1501)
by Sander Münster Florian Niebling Heike MessemerThis book constitutes selected and revised papers from the Second International Conference on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2019, held in Dresden, Germany, in October 2021. The 11 full papers presented in this volume were thoroughly reviewed and selected from 41 submissions. They are organized in the topical sections on theory, methods and systematization; visualization and presentation; machine learning and artificial intelligence.- policies, legislation and standards.
Research and Education in Urban History in the Age of Digital Libraries: Third International Workshop, UHDL 2023, Munich, Germany, March 27-28, 2023, Revised Selected Papers (Communications in Computer and Information Science #1853)
by Sander Münster Florian Niebling Aaron Pattee Cindy KröberThis book constitutes refereed proceedings of the Third International Workshop on Research and Education in Urban History in the Age of Digital Libraries, UHDL 2023, held in Munich, Germany, during March 27-28, 2023.The 15 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: theory, methods, and systematization; data handling and data schemes; machine Learning and artificial Intelligence; visualization and presentation and education.
3D Research Challenges in Cultural Heritage II: How to Manage Data and Knowledge Related to Interpretative Digital 3D Reconstructions of Cultural Heritage (Lecture Notes in Computer Science #10025)
by Sander Münster Mieke Pfarr-Harfst Piotr Kuroczyński Marinos IoannidesThis book reflects a current state of the art and future perspectives of Digital Heritage focusing on not interpretative reconstruction and including as well as bridging practical and theoretical perspectives, strategies and approaches. Comprehensive key challenges are related to knowledge transfer and management as well as data handling within a interpretative digital reconstruction of Cultural Heritage including aspects of digital object creation, sustainability, accessibility, documentation, presentation, preservation and more general scientific compatibility. The three parts of the book provide an overview of a scope of usage scenarios, a current state of infrastructures as digital libraries, information repositories for an interpretative reconstruction of Cultural Heritage; highlight strategies, practices and principles currently used to ensure compatibility, reusability and sustainability of data objects and related knowledge within a 3D reconstruction work process on a day to day work basis; and show innovative concepts for the exchange, publishing and management of 3D objects and for inherit knowledge about data, workflows and semantic structures.
Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks (Lecture Notes in Electrical Engineering #116)
by Gabriel-Miro Muntean Hrishikesh VenkataramanThis book provides a broad introduction to Cognitive Radio, which attempts to mimic human cognition and reasoning applied to Software Defined Radio and reconfigurable radio over wireless networks. It provides readers with significant technical and practical insights into different aspects of Cognitive Radio, starting from a basic background, the principle behind the technology, the inter-related technologies and application to cellular and vehicular networks, the technical challenges, implementation and future trends. The discussion balances theoretical concepts and practical implementation. Wherever feasible, the different concepts explained are linked to application of the corresponding scheme in a particular wireless standard. This book has two sections: the first section begins with an introduction to cognitive radio and discusses in detail various, inter-dependent technologies such as network coding, software-based radio, dirty RF, etc. and their relation to cognitive radio. The second section deals with two key applications of cognitive radio - next generation cellular networks and vehicular networks. The focus is on the impact and the benefit of having cognitive radio-based mechanisms for radio resource allocation, multihop data transmission, co-operative communication, cross-layer solutions and FPGA-level framework design, as well as the effect of relays as cognitive gateways and real-time, seamless multimedia transmission using cognitive radio.
La construcción de la esperanza
by Ignacio MunyoReflexiones sobre las fortalezas y mejoras para el Uruguay del futuro. La esperanza es una combinación entre la realidad y un objetivo deseado. La realidad de Uruguay en la actual coyuntura global y regional nos permite ser optimistas. El objetivo deseado surge del análisis de nuestras posibilidades, de nuestras fortalezas y mejoras necesarias, con base en evidencia y no en prejuicios. Sueño despierto con ese objetivo. Ha sido clave paraello haber mirado de cerca varios casos de países que lograron elevados niveles de bienestar económico sustentable desde el punto de vista social y ambiental. También ha sido clave conversar con muchas personas, con una multiplicidad devisiones, que impulsan las más diversas corrientes de opiniónen Uruguay. Este libro, que pretende ser un conjunto ordenado de reflexiones procesadas a lo largo de muchos años, busca contribuir a la construcción colectiva de la esperanza, que creo que necesita Uruguay para cumplir con su destino ineludible: ser un gran país, moderno, desarrollado, de primera línea eintegrado al mundo. Mirar más alto se puede, y se debe. La esperanza se construye. Primero, internamente, luego, públicamente, para que sea la semilla de un sueño colectivo.
La revolución de los humanos: El futuro del trabajo
by Ignacio Munyo Federico CastilloLa cuestión del futuro del trabajo está presente hace años en todos los foros en los que se discuten temas de relevancia global. No es un tema nuevo. Hace mucho tiempo que se viene hablando de la amenaza de la robotización a lo largo y ancho del mundo. La cuestión del futuro del trabajo está presente hace años en todos los foros en los que se discuten temas de relevancia global. No es un tema nuevo. Hace mucho tiempo que se viene hablando de la amenaza de la robotización a lo largo y ancho del mundo. Sin embargo, no hay consenso en los números ni tampoco en el grado de preocupación. Lo que nadie puede dudar es que el proceso de automatización ya comenzó. La clave es lograr sustituir trabajos automatizables por trabajos que sean complementarios al avance de la tecnología. Estar condenados a hacer tareas que gracias al progreso tecnológico las pueden hacer mejor las máquinas sin duda no es una receta para el desarrollo. No es cuestión de evitar el avance para cuidar los puestos actuales, sino de generar las condiciones para que nuevos tipos de puestos de trabajo puedan ser ocupados con base en las habilidades inherentemente humanas. El economista Ignacio Munyo y el periodista Federico Castillo buscaron algunas tablas de flotación en este mar revuelto. Fueron a charlar con distintas personas con diversas ocupaciones. Las vieron en su ambiente e intentaron describir la esencia de su trabajo. Les preguntaron cómo creen que puede evolucionar. Encontraron algunas respuestas. Y aunque no hay recetas, hay miradas que enriquecen.
Numerische Behandlung gewöhnlicher und partieller Differenzialgleichungen: Ein anwendungsorientiertes Lehrbuch für Ingenieure
by Claus-Dieter Munz Thomas WestermannDie Autoren vermitteln die Herleitung numerischer Algorithmen zur Lösung von Differenzialgleichungen und geben einen Einblick in die praktische Implementierung. Anhand von Beispielen und Übungsaufgaben mit Problemstellungen aus der Ingenieurspraxis werden Eigenschaften und Einsatzbereiche der verschiedenen Verfahren erläutert. Die beiliegende CD-ROM enthält neben den Lösungswegen auch eine interaktive Version des Buchs. Mithilfe des Computer-Algebra-Systems MAPLE können die beschriebenen Verfahren direkt aus dem Text heraus ausgeführt werden.
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
by Simon Munzert Christian Rubba Peter Meißner Dominic NyhuisA hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website.
Cloud Computing als neue Herausforderung für Management und IT (essentials)
by Gerald Münzl Michael Pauly Martin RetiCloud Computing wird von nahezu allen führenden Analysten als einer der Top-5-IT-Trends gesehen, der gegenwärtig aus der Hype-Phase in den Status der praktischen betrieblichen Umsetzung übergeht. Inzwischen wird nicht mehr diskutiert, ob Cloud Computing überhaupt eine praktikable Möglichkeit des IT-Sourcing ist, sondern vielmehr, wie diese Möglichkeit sich sicher und mit hohem Nutzen für Firmen einsetzen lässt. Es wird aufgezeigt, wo die Vorteile aber auch die Stolpersteine liegen und welche prinzipiellen Lösungen es gibt, um die Chancen zu realisieren und Risiken möglichst zu umgehen.
Visualization Analysis and Design (Ak Peters Visualization Ser.)
by Tamara MunznerLearn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques
Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker
by Sireesha Muppala Randy DeFauw Shelbee EigenbrodeOvercome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML models into productionKey FeaturesLearn best practices for all phases of building machine learning solutions - from data preparation to monitoring models in productionAutomate end-to-end machine learning workflows with Amazon SageMaker and related AWSDesign, architect, and operate machine learning workloads in the AWS CloudBook DescriptionAmazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions.By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows.What you will learnPerform data bias detection with AWS Data Wrangler and SageMaker ClarifySpeed up data processing with SageMaker Feature StoreOvercome labeling bias with SageMaker Ground TruthImprove training time with the monitoring and profiling capabilities of SageMaker DebuggerAddress the challenge of model deployment automation with CI/CD using the SageMaker model registryExplore SageMaker Neo for model optimizationImplement data and model quality monitoring with Amazon Model MonitorImprove training time and reduce costs with SageMaker data and model parallelismWho this book is forThis book is for expert data scientists responsible for building machine learning applications using Amazon SageMaker. Working knowledge of Amazon SageMaker, machine learning, deep learning, and experience using Jupyter Notebooks and Python is expected. Basic knowledge of AWS related to data, security, and monitoring will help you make the most of the book.
Soft Computing and Medical Bioinformatics (SpringerBriefs in Applied Sciences and Technology)
by Naresh Babu Muppalaneni Maode Ma Sasikumar GurumoorthyThis book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty analysis. It also deals with novel applications of new processing techniques in computer science. This book is useful to both students and researchers from computer science and engineering fields.
Murach's MySQL
by Joel Murach<p>Now, this 2nd Edition has been updated and improved throughout. As a result, it's easier than ever to use for learning MySQL from scratch, for switching to MySQL from another flavor of SQL (like MS SQL Server or Oracle), or for quickly looking up the forgotten details that are so essential as you develop database applications. <p>Section 1 introduces you to relational databases and SQL, shows you how to use the graphical MySQL Workbench to work with a MySQL database, and teaches you to code SQL queries to retrieve, add, update, and delete data in a MySQL database. Section 2 goes deeper into querying, showing you how to work with summary queries, subqueries, data types, and functions. Section 3 shows you how to design a MySQL database using an EER model, implement the design, and create views. Section 4 shows how to create stored procedures that provide functionality similar to procedural programming languages like PHP, Java, C++, C#, and VB. And Section 5 introduces you to database administration tasks like securing and backing up database data. <p>Whether you start from the beginning or jump in anywhere, it's a great guide for MySQL users at any level.</p>
Murach's C#
by Joel Murach Anne BoehmThe 8th Edition of Murach’s C# does a better job than ever of teaching the C# programming language. Each section features clear examples and easy-to-understand explanations that walk you through crucial skills, best practices, and helpful tips.
Murach's C# 2015
by Joel Murach Anne BoehmMicrosoft's Visual C# is an elegant, object-oriented language that uses syntax that's similar to C++ and Java. This 2015 edition has been updated throughout to make it easier for you to gain the C# and Visual Studio skills that employers are looking for in today's application developers. This book is for anyone who wants to learn how to use Visual C# 2015 for developing professional Windows Forms applications using Visual Studio 2015 and the .NET Framework. That includes the entire range of developers from complete beginners to experienced Java, C++, and Visual Basic programmers.
ASP. NET Core MVC: Training and Reference
by Joel Murach Mary DelamaterIf you know the basics of C#, you're ready to learn how to create web applications using Microsoft's powerful technology, ASP.NET Core MVC (Model-View-Controller). And there's no more practical way to do it than with this book. <p><p> By the end of section 1...just 5 chapters...you'll be developing real-world web apps using C# code for the model and controller classes...HTML, CSS, and Razor code for the view files (for the user interface)...and Bootstrap classes for responsive design so that your apps adapt well to all screen sizes. You'll also be able use the debugging tools in Visual Studio and your browser to test your apps and make sure they'll work right for all users. <p><p> In section 2, you'll build out that set of skills to create more complex controllers, work with Razor views, handle cookies and sessions, do model binding, validate data, and handle database data with EF (Entity Framework) Core. You'll also see how all these skills come together in a single application, with coverage of the gotchas that can occur and how to solve them. <p><p> Finally, in section 3, you can pick up additional skills as you need them to: create custom tag helpers and view components; authenticate and authorize users; use dependency injection to automate testing; and use Visual Studio Code. <p><p> All along the way, you'll get complete web apps that show you how each feature works in context (you can download these for free from the Murach website). You'll get chapter exercises that let you practice your new skills. And you'll get Murach's distinctive paired-pages format that presents each skill in a 2-page spread, full of examples, notes, and explanation...a format that developers praise because it saves them both training and reference time.
Murach's SQL Server 2016 For Developers
by Joel Murach Bryan SyversonIf you want to learn SQL, you've picked the right book. And if you want to learn the specifics of SQL for SQL Server 2016, you've made an especially good choice. Along the way, you'll learn a lot about relational database management systems in general and about SQL Server in particular. Why learn SQL? First, because most programmers would be better at database programming if they knew more about SQL. Second, because SQL programming is a valuable specialty in itself. And third, because knowing SQL is the first step toward becoming a database administrator. In short, knowing SQL makes you more valuable on the job.
Murach's Java Servlets and JSP
by Joel Murach Michael UrbanThis new edition of Murach's Java Servlets and JSP makes it easier than ever for Java developers to master web programming. It shows how to install and use the Tomcat server and the NetBeans IDE. It shows how to use JSPs and servlets to build secure and well-structured web applications that implement the MVC pattern. It shows how to use sessions, cookies, JavaBeans, EL, JSTL, and custom tags. It shows how to use JDBC or JPA to work with a MySQL database. It shows how to work with JavaMail, SSL connections, authentication, encryption, filters, and listeners. It even includes an introduction to JSF to expand your perspective on Java web programming. These are the skills that you need to build professional Java web applications using servlets and JSP. A great read for any Java developer.